Hope speech detection in Spanish: The LGBT case.
In recent years, systems have been developed to monitor online content and remove abusive, offensive or hateful content. Comments in online social media have been analyzed to find and stop the spread of negativity using methods such as hate speech detection, identification of offensive language or d...
| Publicado en: | Language Resources & Evaluation Vol. 57; no. 4; pp. 1487 - 1515 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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Springer Nature
Dec2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=173723393&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 173723393 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Dec2023 vid: 57 iid: 4 pid: 237 pub: Springer Nature artinfo: ui: 173723393 10.1007/s10579-023-09638-3 ppf: 1487 ppct: 28 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.1MB tig: atl: Hope speech detection in Spanish: The LGBT case. aug: au: García-Baena, Daniel García-Cumbreras, Miguel Ángel Jiménez-Zafra, Salud María García-Díaz, José Antonio Valencia-García, Rafael affil: I.E.S. San Juan de la Cruz, Jaén, Spain https://ror.org/0122p5f64 Computer Science Department, SINAI Research Group, CEATIC, Universidad de Jaén, Jaén, Spain https://ror.org/03p3aeb86 Facultad de Informática, UMUTeam Research Group, Universidad de Murcia, Murcia, Spain su: X Corp. Speech Spanish language Loneliness Sex discrimination Online comments Discriminatory language Natural language processing sug: subj: X Corp. Speech Spanish language Loneliness Sex discrimination Online comments Discriminatory language Natural language processing keyword: Diversity and inclusion Hope speech Language that promotes equality Language that relaxes hostile environments ab: In recent years, systems have been developed to monitor online content and remove abusive, offensive or hateful content. Comments in online social media have been analyzed to find and stop the spread of negativity using methods such as hate speech detection, identification of offensive language or detection of abusive language. We define hope speech as the type of speech that is able to relax a hostile environment and that helps, gives suggestions and inspires for good to a number of people when they are in times of illness, stress, loneliness or depression. Detecting it automatically, in order to give greater diffusion to positive comments, can have a very significant effect when it comes to fighting against sexual or racial discrimination or when we intend to foster less bellicose environments. In this article we perform a complete study on hope speech, analyzing existing solutions and available resources. In addition, we have generated a quality resource, SpanishHopeEDI, a new Spanish Twitter dataset on LGBT community, and we have conducted some experiments that can serve as a baseline for further research. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2023. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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